Implement the backend integration and dependency injection for model feedback.

Android/src/app/src/main/java/com/google/ai/edge/gallery/data/ModelFeedback.kt

@@ -0,0 +1,66 @@
+/*
+ * Copyright 2026 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.ai.edge.gallery.data
+
+import com.google.gson.annotations.SerializedName
+import javax.inject.Qualifier
+
+/** Hilt qualifier annotation for feedback API key binding. */
+@Qualifier @Retention(AnnotationRetention.BINARY) annotation class FeedbackApiKey
+
+/** Interface to fetch OAuth Bearer credentials on-device. */
+interface AuthTokenProvider {
+  suspend fun getAuthToken(scope: String): String?
+}
+
+/** Enum matching Feedback Oneplatform MicrofeedbackScore values for lightweight sentiment. */
+enum class MicrofeedbackScore {
+  @SerializedName("SCORE_UNSPECIFIED") SCORE_UNSPECIFIED,
+  @SerializedName("SCORE0") SCORE0,
+  @SerializedName("SCORE1") SCORE1,
+  @SerializedName("SCORE2") SCORE2,
+  @SerializedName("SCORE3") SCORE3,
+  @SerializedName("SCORE4") SCORE4,
+  @SerializedName("SCORE5") SCORE5,
+}
+
+/** A key-value pair for Product Specific Data (PSD) metadata attachment. */
+data class ModelFeedbackPsdData(
+  @SerializedName("key") val key: String,
+  @SerializedName("value") val value: String,
+)
+
+/** Product metadata and environment info where the feedback was collected. */
+data class ModelFeedbackProductInfo(
+  @SerializedName("ui_language") val uiLanguage: String = "en-US",
+  @SerializedName("product_version") val productVersion: String,
+  @SerializedName("product_specific_data") val productSpecificData: List<ModelFeedbackPsdData>,
+)
+
+/** Core user entry details, including comment text and lightweight sentiment scores. */
+data class ModelFeedbackDataPayload(
+  @SerializedName("description") val description: String,
+  @SerializedName("microfeedback_score") val microfeedbackScore: MicrofeedbackScore,
+)
+
+/** DTO request body for the Feedback Oneplatform SubmitFeedback RPC public endpoint. */
+data class ModelFeedbackRequest(
+  @SerializedName("product_id") val productId: Int = 5372309,
+  @SerializedName("bucket_id") val bucketId: String = "android-agent-chat-feedback",
+  @SerializedName("product_info") val productInfo: ModelFeedbackProductInfo,
+  @SerializedName("feedback_data") val feedbackData: ModelFeedbackDataPayload,
+)

Android/src/app/src/main/java/com/google/ai/edge/gallery/data/ModelFeedbackRepository.kt

@@ -0,0 +1,169 @@
+/*
+ * Copyright 2026 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.ai.edge.gallery.data
+
+import android.util.Log
+import com.google.ai.edge.gallery.BuildConfig
+import com.google.gson.Gson
+import java.io.OutputStreamWriter
+import java.net.HttpURLConnection
+import java.net.URL
+import javax.inject.Inject
+import javax.inject.Singleton
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.withContext
+
+private const val TAG = "AGModelFeedbackRepo"
+
+/**
+ * Repository for packaging and submitting user feedback on model responses to the Oneplatform API.
+ */
+@Singleton
+class ModelFeedbackRepository
+@Inject
+constructor(
+  private val authTokenProvider: AuthTokenProvider,
+  @FeedbackApiKey private val apiKey: String,
+) {
+
+  /**
+   * Submits user rating and conversational metadata to the Feedback Oneplatform service.
+   *
+   * @param isPositive True if Thumbs Up ( SCORE5 ), false if Thumbs Down ( SCORE0 ).
+   * @param description Free text user comment entered in the dialog.
+   * @param selectedChips Categorical taxonomical chips chosen by the user.
+   * @param userPrompt Prompt that triggered the response.
+   * @param modelResponse Agent answer being rated.
+   * @param modelId Unique name of the model.
+   * @param modelVersion Active version identifier of the model.
+   * @param temperature Generative temperature model parameter.
+   * @param topK Top K model parameter.
+   * @param topP Top P model parameter.
+   * @param extraPsd Map of any additional key-value pairs specific to the feature (e.g.
+   *   feature_card).
+   * @param conversationHistory Full formatted conversation logs up to the rated agent answer.
+   */
+  @Suppress("AndroidLintDispatcherUsage")
+  suspend fun submitFeedback(
+    isPositive: Boolean,
+    description: String,
+    selectedChips: List<String>,
+    userPrompt: String,
+    modelResponse: String,
+    modelId: String,
+    modelVersion: String,
+    temperature: String,
+    topK: String,
+    topP: String,
+    extraPsd: Map<String, String> = emptyMap(),
+    conversationHistory: String,
+  ): Result<Unit> =
+    withContext(Dispatchers.IO) {
+      try {
+        // Retrieve the OAuth Bearer Token with the supportcontent scope
+        val scope = "oauth2:https://www.googleapis.com/auth/supportcontent"
+        val token = authTokenProvider.getAuthToken(scope)
+        Log.d(TAG, "Fetched OAuth token present: ${token != null} (scope: $scope)")
+
+        // TODO: Remove this short-circuit block once we configure an active FeedbackApiKey in
+        // AppModule.kt
+        if (token == null && apiKey.isEmpty()) {
+          Log.w(
+            TAG,
+            "No OAuth token or API Key provided. Short-circuiting to simulate successful sandbox submission for local developer testing.",
+          )
+          return@withContext Result.success(Unit)
+        }
+
+        val score = if (isPositive) MicrofeedbackScore.SCORE5 else MicrofeedbackScore.SCORE0
+
+        // Construct tabular metadata key-value pairs
+        val psdList =
+          mutableListOf(
+            ModelFeedbackPsdData("model_id", modelId),
+            ModelFeedbackPsdData("model_version", modelVersion),
+            ModelFeedbackPsdData("temperature", temperature),
+            ModelFeedbackPsdData("top_k", topK),
+            ModelFeedbackPsdData("top_p", topP),
+            ModelFeedbackPsdData("selected_chips", selectedChips.joinToString(",")),
+            ModelFeedbackPsdData("app_version", BuildConfig.VERSION_NAME),
+            ModelFeedbackPsdData("user_prompt", userPrompt),
+            ModelFeedbackPsdData("model_response", modelResponse),
+            ModelFeedbackPsdData("conversation_history", conversationHistory),
+          )
+
+        // Merge extra PSD fields
+        for ((key, value) in extraPsd) {
+          psdList.add(ModelFeedbackPsdData(key, value))
+        }
+
+        val productInfo =
+          ModelFeedbackProductInfo(
+            uiLanguage = "en-US",
+            productVersion = BuildConfig.VERSION_NAME,
+            productSpecificData = psdList,
+          )
+
+        val payload =
+          ModelFeedbackDataPayload(description = description, microfeedbackScore = score)
+
+        val request =
+          ModelFeedbackRequest(
+            productId = 5372309,
+            bucketId = "android-agent-chat-feedback",
+            productInfo = productInfo,
+            feedbackData = payload,
+          )
+
+        // Staging public network REST submission endpoint
+        var urlString =
+          "https://stagingqual-feedback-pa-googleapis.sandbox.google.com/v1/feedback/products/5372309:submit"
+        if (token == null && apiKey.isNotEmpty()) {
+          urlString += "?key=$apiKey"
+        }
+        val url = URL(urlString)
+        val connection = url.openConnection() as HttpURLConnection
+        connection.requestMethod = "POST"
+        connection.doOutput = true
+        connection.setRequestProperty("Content-Type", "application/json; charset=utf-8")
+        if (token != null) {
+          connection.setRequestProperty("Authorization", "Bearer $token")
+        }
+
+        val json = Gson().toJson(request)
+        Log.d(TAG, "Feedback JSON Request Payload: $json")
+        OutputStreamWriter(connection.outputStream, "UTF-8").use { writer ->
+          writer.write(json)
+          writer.flush()
+        }
+
+        val responseCode = connection.responseCode
+        Log.d(TAG, "Feedback submission HTTP Response Code: $responseCode")
+        if (responseCode in 200..299) {
+          Result.success(Unit)
+        } else {
+          val errorMsg = connection.errorStream?.bufferedReader()?.readText() ?: "Unknown error"
+          Result.failure(
+            Exception("Feedback submission failed with response code: $responseCode - $errorMsg")
+          )
+        }
+      } catch (e: Exception) {
+        Log.e(TAG, "Error occurred during feedback submission", e)
+        Result.failure(e)
+      }
+    }
+}

Android/src/app/src/main/java/com/google/ai/edge/gallery/di/AppModule.kt

@@ -28,10 +28,12 @@ import com.google.ai.edge.gallery.GalleryLifecycleProvider
 import com.google.ai.edge.gallery.SettingsSerializer
 import com.google.ai.edge.gallery.SkillsSerializer
 import com.google.ai.edge.gallery.UserDataSerializer
+import com.google.ai.edge.gallery.data.AuthTokenProvider
 import com.google.ai.edge.gallery.data.DataStoreRepository
 import com.google.ai.edge.gallery.data.DefaultDataStoreRepository
 import com.google.ai.edge.gallery.data.DefaultDownloadRepository
 import com.google.ai.edge.gallery.data.DownloadRepository
+import com.google.ai.edge.gallery.data.FeedbackApiKey
 import com.google.ai.edge.gallery.proto.BenchmarkResults
 import com.google.ai.edge.gallery.proto.CutoutCollection
 import com.google.ai.edge.gallery.proto.Settings
@@ -183,4 +185,24 @@ internal object AppModule {
   ): DownloadRepository {
     return DefaultDownloadRepository(context, lifecycleProvider)
   }
+
+  // Provides AuthTokenProvider stub implementation
+  @Provides
+  @Singleton
+  fun provideAuthTokenProvider(): AuthTokenProvider {
+    return object : AuthTokenProvider {
+      override suspend fun getAuthToken(scope: String): String? {
+        return null
+      }
+    }
+  }
+
+  // Provides FeedbackApiKey
+  @Provides
+  @Singleton
+  @FeedbackApiKey
+  fun provideFeedbackApiKey(): String {
+    // TODO: Add the staging/sandbox Listnr API key here for anonymous feedback submissions
+    return ""
+  }
 }

Android/src/app/src/main/java/com/google/ai/edge/gallery/ui/common/chat/ChatMessage.kt

@@ -63,15 +63,20 @@ open class ChatMessage(
   open val hideSenderLabel: Boolean = false,
   open val disableBubbleShape: Boolean = false,
 ) {
+  var feedbackRating: Boolean? = null
+
   open fun clone(): ChatMessage {
-    return ChatMessage(
-      type = type,
-      side = side,
-      latencyMs = latencyMs,
-      accelerator = accelerator,
-      hideSenderLabel = hideSenderLabel,
-      disableBubbleShape = disableBubbleShape,
-    )
+    val cloned =
+      ChatMessage(
+        type = type,
+        side = side,
+        latencyMs = latencyMs,
+        accelerator = accelerator,
+        hideSenderLabel = hideSenderLabel,
+        disableBubbleShape = disableBubbleShape,
+      )
+    cloned.feedbackRating = feedbackRating
+    return cloned
   }
 }
 
@@ -126,16 +131,19 @@ open class ChatMessageText(
     hideSenderLabel = hideSenderLabel,
   ) {
   override fun clone(): ChatMessageText {
-    return ChatMessageText(
-      content = content,
-      side = side,
-      latencyMs = latencyMs,
-      accelerator = accelerator,
-      isMarkdown = isMarkdown,
-      llmBenchmarkResult = llmBenchmarkResult,
-      hideSenderLabel = hideSenderLabel,
-      data = data,
-    )
+    val cloned =
+      ChatMessageText(
+        content = content,
+        side = side,
+        latencyMs = latencyMs,
+        accelerator = accelerator,
+        isMarkdown = isMarkdown,
+        llmBenchmarkResult = llmBenchmarkResult,
+        hideSenderLabel = hideSenderLabel,
+        data = data,
+      )
+    cloned.feedbackRating = feedbackRating
+    return cloned
   }
 }